class_docstr: A handle to a query that is executing continuously in the background as new data arrives.
  All these methods are thread-safe.
  
  .. versionadded:: 2.0.0
  
  .. versionchanged:: 3.5.0
      Supports Spark Connect.
  
  Notes
  -----
  This API is evolving.
docstr: Returns the current status of the query.
  
  .. versionadded:: 2.1.0
  
  .. versionchanged:: 3.5.0
      Supports Spark Connect.
  
  Returns
  -------
  dict
      The current status of the specified query.
  
  Examples
  --------
  >>> sdf = spark.readStream.format("rate").load()
  >>> sq = sdf.writeStream.format('memory').queryName('this_query').start()
  
  Get the current status of the query
  
  >>> sq.status
  {'message': '...', 'isDataAvailable': ..., 'isTriggerActive': ...}
  
  >>> sq.stop()
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code: def status(self) -> Dict[str, Any]:
      """
      Returns the current status of the query.
  
      .. versionadded:: 2.1.0
  
      .. versionchanged:: 3.5.0
          Supports Spark Connect.
  
      Returns
      -------
      dict
          The current status of the specified query.
  
      Examples
      --------
      >>> sdf = spark.readStream.format("rate").load()
      >>> sq = sdf.writeStream.format('memory').queryName('this_query').start()
  
      Get the current status of the query
  
      >>> sq.status
      {'message': '...', 'isDataAvailable': ..., 'isTriggerActive': ...}
  
      >>> sq.stop()
      """
      return json.loads(self._jsq.status().json())
  
imports: import json
  from typing import Any, Dict, List, Optional
  from py4j.java_gateway import JavaObject, java_import
  from pyspark.errors import StreamingQueryException, PySparkValueError
  from pyspark.errors.exceptions.captured import StreamingQueryException
  from pyspark.sql.streaming.listener import StreamingQueryListener
label_desc: Use image node_id 7 for calling the StreamingQuery obj's underlying member method code with example usage: obj.status() and returns: json